@inproceedings{60504,
  author       = {{Nellius, Tom and Henne, Kevin and Hartinger, Maximilian and Meihost, Lars and Hetkämper, Tim and Zeipert, Henning and Claes, Leander and Henning, Bernd}},
  location     = {{Nürnberg}},
  title        = {{{Ultrasonic phased array interface using programmable I/O and microprocessor clock synchronisation}}},
  doi          = {{ 10.5162/SMSI2025/A5.4}},
  year         = {{2025}},
}

@article{62000,
  author       = {{Claes, Leander and Koch, Kevin and Friesen, Olga and Meihost, Lars}},
  issn         = {{2681-4617}},
  journal      = {{Acta Acustica}},
  number       = {{65}},
  publisher    = {{EDP Sciences}},
  title        = {{{Machine Learning-Supported Inverse Measurement Procedure for Broadband, Temperature Dependent Piezoelectric Material Parameters}}},
  doi          = {{10.1051/aacus/2025044}},
  volume       = {{9}},
  year         = {{2025}},
}

@inproceedings{59689,
  author       = {{Friesen, Olga and Meihost, Lars and Koch, Kevin and Claes, Leander and Henning, Bernd}},
  location     = {{Copenhagen}},
  title        = {{{Estimation of piezoelectric material parameters under varying electric field conditions}}},
  doi          = {{10.71568/DASDAGA2025.078}},
  year         = {{2025}},
}

@misc{55039,
  author       = {{Hetkämper, Tim and Meihost, Lars}},
  title        = {{{Bits und Bytes - Mikrocontroller verstehen mit modularer Hardware}}},
  year         = {{2024}},
}

@inproceedings{53824,
  author       = {{Koch, Kevin and Claes, Leander and Jurgelucks, Benjamin and Meihost, Lars and Henning, Bernd}},
  booktitle    = {{Fortschritte der Akustik - DAGA 2024}},
  editor       = {{Gesellschaft für Akustik e.V., Deutsche }},
  pages        = {{1113–1116}},
  title        = {{{Inverses Verfahren zur Identifikation piezoelektrischer Materialparameter unterstützt durch neuronale Netze}}},
  year         = {{2024}},
}

@misc{55416,
  author       = {{Claes, Leander and Koch, Kevin and Friesen, Olga and Meihost, Lars}},
  title        = {{{Machine learning in inverse measurement problems: An application to piezoelectric material characterisation}}},
  year         = {{2024}},
}

@article{54314,
  author       = {{Koch, Kevin and Claes, Leander and Jurgelucks, Benjamin and Meihost, Lars}},
  journal      = {{tm - Technisches Messen}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Neuronale Netze zur Startwertschätzung bei der Identifikation piezoelektrischer Materialparameter}}},
  doi          = {{10.1515/teme-2024-0099}},
  year         = {{2024}},
}

@article{45445,
  author       = {{Claes, Leander and Feldmann, Nadine and Schulze, Veronika and Meihost, Lars and Kuhlmann, Henrik and Jurgelucks, Benjamin and Walther, Andrea and Henning, Bernd}},
  journal      = {{Journal of Sensors and Sensor Systems}},
  number       = {{1}},
  pages        = {{163–173}},
  title        = {{{Inverse procedure for measuring piezoelectric material parameters using a single multi-electrode sample}}},
  doi          = {{10.5194/jsss-12-163-2023}},
  volume       = {{12}},
  year         = {{2023}},
}

@misc{45455,
  author       = {{Claes, Leander and Meihost, Lars and Jurgelucks, Benjamin}},
  title        = {{{Inverse procedure for the identification of piezoelectric material parameters supported by dense neural networks}}},
  year         = {{2023}},
}

@article{21341,
  abstract     = {{The progress in numerical methods and simulation tools promotes the use of inverse problems in material characterisation problems. A newly developed procedure can be used to identify the behaviour of piezoceramic discs over a wide frequency range using a single specimen via fitting simulated and measured impedances by optimising the underlying material parameters. Since there is no generally accepted damping model for piezoelectric ceramics, several mechanical damping models are examined for the material identification. Three models have been chosen and their ability to replicate the measured impedances is evaluated. On the one hand, the common Rayleigh model is considered as a reference. On the other hand, a Zener model and a model using complex constants are extended to model the transversely isotropic material. As the Rayleigh model is only valid for a limited frequency range, it fails to model the broadband behaviour of the material. The model using complex constants leads to the best fit over a wide frequency range while at the same time only adding three additional parameters for modelling damping. Thus, damping can be assumed approximately frequency-independent in piezoceramics.}},
  author       = {{Feldmann, Nadine and Schulze, Veronika and Claes, Leander and Jurgelucks, Benjamin and Meihost, Lars and Walther, Andrea and Henning, Bernd}},
  issn         = {{2196-7113}},
  journal      = {{tm - Technisches Messen}},
  number       = {{5}},
  pages        = {{294 -- 302}},
  title        = {{{Modelling damping in piezoceramics: A comparative study}}},
  doi          = {{10.1515/teme-2020-0096}},
  volume       = {{88}},
  year         = {{2021}},
}